An augmented reality pipeline to create scenes with coherent illumination using textured cuboids
Shadows and illumination play an important role when generating a realistic scene in computer graphics. Most of the Augmented Reality (AR) systems track markers placed in a real scene and retrieve their position and orientation to serve as a frame of reference for added computer generated content...
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| Formato: | Dissertação |
| Idioma: | por |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
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| Endereço do item: | https://repositorio.ufrn.br/jspui/handle/123456789/19823 |
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| Resumo: | Shadows and illumination play an important role when generating a realistic scene in
computer graphics. Most of the Augmented Reality (AR) systems track markers placed
in a real scene and retrieve their position and orientation to serve as a frame of reference
for added computer generated content, thereby producing an augmented scene. Realistic
depiction of augmented content with coherent visual cues is a desired goal in many
AR applications. However, rendering an augmented scene with realistic illumination is a
complex task. Many existent approaches rely on a non automated pre-processing phase to
retrieve illumination parameters from the scene. Other techniques rely on specific markers
that contain light probes to perform environment lighting estimation. This study aims at
designing a method to create AR applications with coherent illumination and shadows,
using a textured cuboid marker, that does not require a training phase to provide lighting
information. Such marker may be easily found in common environments: most of product
packaging satisfies such characteristics. Thus, we propose a way to estimate a directional
light configuration using multiple texture tracking to render AR scenes in a realistic
fashion. We also propose a novel feature descriptor that is used to perform multiple texture
tracking. Our descriptor is an extension of the binary descriptor, named discrete
descriptor, and outperforms current state-of-the-art methods in speed, while maintaining
their accuracy. |
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